How AI can reveal political language evolution, patterns, and biases from 123 years of federal budget speeches in Australia

   

Visual Stories Team | The Age
1 June 2023

Intro to NLP

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Toy case study

Toy case study of how Natural Language Processing (NLP) analyses text.

Showcase of how modern computing and machine learning can now easily analyse millions of words and historical patterns ie. use a simple case study of language processing to introduce NLPs then dive into budget speech analysis

 

How NLP text analysis works


Step through of how NLP models analyse text using tokenising to parse individual words, verbage, language, and keywords, such as identifying nouns, pronouns, verbs, and keywords (Universal Parts of Speech, UPOS).


 

 

 

  • Token/tokenising = individual words

  • UPOS = Universal Parts of Speech (word classification)

  • Lemma/lemmatising = root word form of each token

  • Tagging

  • Dependency Parsing Annotation

 


Topic selection

Select three global and political topics that most interest you

Defence

Climate

Housing

Immigration

Environment

Jobs (unemployment)

Tax (breaks or increases)

Pension

Aged care

Transport

Education

Trade

Budget - Debt / surplus

Technology

Manufacturing

Health

Hospitals

Crime

Espionage


Timeline analysis

Timeline analysis of the last 123 years of budget speeches using chosen topics

 

   


Sentiment analysis of language

Sentiment analysis of tone

Defence

Tax

 

Deep dive example

Lessons from Natural Language Processing

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Credits

DEVELOPER/3D VISUALISATION Richard Lama, Nathanael Scott, Daniel Carter PHOTOS Francis Kokoroko DATA Matt Malishev DESIGN Mark Stehle, Luis Araujo, Kathleen Adele VIDEO Francis Kokoroko PRODUCTION Matthew Absalom-Wong EDITORS Nick Ralston, Lia Timson

 

Another data story by the Visual Stories Team